公开(公告)号：US20220414870A1

公开(公告)日：2022-12-29

申请号：US17772881

申请日：2020-11-05

Applicant: MEDIAN TECHNOLOGIES

Inventor： Elton REXHEPAJ ,  Corinne RAMOS ,  Nozha BOUJEMAA ,  Jean-Christophe BRISSET ,  Pierre BAUDOT ,  Sébastien POULLOT ,  Benjamin RENOUST ,  Benoit HUET

IPC: G06T7/00 ,  G06T7/11

Abstract: A method for performing classification of the severity of at least one liver disease from non-invasive radiographic images is disclosed. The method includes: providing radiographic images of slices of the abdomen of a patient; pre-processing the radiographic images by: segmenting liver and spleen, thus achieving a spleen binary mask and a liver binary mask per slice, and normalizing the images with each other, thus achieving normalized radiographic images per slice; for each slice, from the liver binary mask and the normalized radiographic images, extracting a liver parameter; from at least one spleen binary mask, extracting a spleen parameter; and classifying, in function of both parameters and by help of a trained Machine Learning model, the severity of liver disease between one among a group of liver disease at early stage and a group of liver disease at advanced stage.